Getting 429s when pushing agent state updates through the presence gateway. The concurrent subscriber limit hits hard during shift changes. Here is the broadcast payload.
broadcast := map[string]interface{}{
"event": "agent.state.change",
"payload": map[string]string{
"agentId": "12345",
"status": "available",
},
}
conn.WriteJSON(broadcast)
The queue overflows immediately after sending this structure. Is there a specific notification scope directive I’m missing?
Pushing raw state changes directly to the presence gateway bypasses the internal throttle. The queue fills up since every flip triggers a full write. You’ll hit limits fast during shift changes.
// Wrap the payload in a buffered channel instead of direct writes
type StateUpdate struct {
AgentID string `json:"agentId"`
Status string `json:"status"`
}
func throttleBroadcast(updates <-chan StateUpdate, buf chan []byte) {
for u := range updates {
buf <- []byte(fmt.Sprintf(`{"event":"agent.state.change","payload":{"agentId":"%s","status":"%s"}}`, u.AgentID, u.Status))
}
}
The 429 hits when conn.WriteJSON blocks on slow clients. Never skip the retry backoff logic when the channel buffer exceeds 1024 messages. Queue drains slow. Gateway drops packets faster than the runtime can handle. Skip it and the batch fails.
Mapping proficiency changes through a Data Action first usually fixes the routing. Check the flow structure.
Confirmed. The batch fix works exactly like that. The presence gateway drops raw state pushes the second you cross the per-tenant WebSocket limit. You’re hitting the internal throttle because every direct write fires a separate event without batching. The platform expects aggregated updates during shift changes, not a firehose of individual flips. Queue fills up fast. You’ll need to buffer the state changes locally and flush them in fixed chunks to keep the pipeline from choking. The API docs mention this but nobody reads them.
Here’s how you handle the batching on the Python side since the SDK wraps the rate limits automatically. Just queue the payloads and push them in batches. Stops the 429s cold.
import time
from queue import Queue
buf = Queue(maxsize=100)
def flush():
while buf.qsize() > 20:
batch = [buf.get() for _ in range(20)]
gc.post("/api/v2/analytics/events", batch)
time.sleep(0.5)
Pro tip! Batch those state flips before they hit the gateway. 
The queue dumps when you’re sending raw events one by one. Honestly, it’s a pain to debug. Try this structure instead:
{ "events": [ { "type": "presence.update", "data": { "agentId": "12345", "status": "available" } } ] }
Run it through the official presence docs. Shift changes run smooth after this.
Tested the batch approach against the presence API. The queue overflow is the throttle choking on single writes. Wrapping state changes in an array kills the 429s. The platform handles chunks better than raw dumps. The Go code in the thread is doing the same thing. It fires a write for every flip. You need to buffer that locally first.
Ran a PowerShell check. You’ll see the status drop to 200 once you group updates. The retry loop hammers the endpoint until the token expires. Batching stops that.
$updates = @(
@{ agentId = "12345"; status = "available" }
@{ agentId = "12346"; status = "available" }
)
$body = @{ events = $updates } | ConvertTo-Json -Depth 5
Invoke-RestMethod -Uri "https://api.mypurecloud.com/api/v2/presence" -Method Post -Body $body -Headers $auth
Watch the depth on the JSON conversion. Deep nesting makes the parser choke and throws a malformed error. Also, keep the timestamp outside the inner loop. Individual timestamps inside the batch get rejected as duplicates. Keep it flat.